CN114580865A - Agricultural park management method, equipment and medium based on Internet of things - Google Patents
Agricultural park management method, equipment and medium based on Internet of things Download PDFInfo
- Publication number
- CN114580865A CN114580865A CN202210159016.1A CN202210159016A CN114580865A CN 114580865 A CN114580865 A CN 114580865A CN 202210159016 A CN202210159016 A CN 202210159016A CN 114580865 A CN114580865 A CN 114580865A
- Authority
- CN
- China
- Prior art keywords
- agricultural
- park
- determining
- management
- water
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 123
- 239000003337 fertilizer Substances 0.000 claims abstract description 61
- 238000000034 method Methods 0.000 claims abstract description 41
- 239000000047 product Substances 0.000 claims description 58
- 238000001556 precipitation Methods 0.000 claims description 52
- 241000607479 Yersinia pestis Species 0.000 claims description 37
- 230000008859 change Effects 0.000 claims description 26
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 23
- 201000010099 disease Diseases 0.000 claims description 21
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 21
- 238000011156 evaluation Methods 0.000 claims description 21
- 238000010586 diagram Methods 0.000 claims description 20
- 230000000694 effects Effects 0.000 claims description 13
- 238000003860 storage Methods 0.000 claims description 11
- 238000003973 irrigation Methods 0.000 claims description 9
- 230000002262 irrigation Effects 0.000 claims description 9
- 239000013589 supplement Substances 0.000 claims description 4
- 238000009825 accumulation Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims description 3
- 238000002372 labelling Methods 0.000 claims description 2
- 230000001502 supplementing effect Effects 0.000 abstract description 4
- 238000009313 farming Methods 0.000 description 9
- 239000003181 biological factor Substances 0.000 description 7
- 238000004590 computer program Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 7
- 239000002689 soil Substances 0.000 description 7
- 230000007613 environmental effect Effects 0.000 description 6
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 5
- 239000001301 oxygen Substances 0.000 description 5
- 229910052760 oxygen Inorganic materials 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 239000000243 solution Substances 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 4
- 230000004720 fertilization Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 230000002265 prevention Effects 0.000 description 4
- 238000012271 agricultural production Methods 0.000 description 3
- 238000013480 data collection Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 208000035473 Communicable disease Diseases 0.000 description 2
- 241000238631 Hexapoda Species 0.000 description 2
- 238000009395 breeding Methods 0.000 description 2
- 230000001488 breeding effect Effects 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000013138 pruning Methods 0.000 description 2
- 239000012088 reference solution Substances 0.000 description 2
- 241000894006 Bacteria Species 0.000 description 1
- 241000233866 Fungi Species 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 208000030852 Parasitic disease Diseases 0.000 description 1
- 241000700605 Viruses Species 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 210000003608 fece Anatomy 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009342 intercropping Methods 0.000 description 1
- 230000009545 invasion Effects 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000010871 livestock manure Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000010899 nucleation Methods 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 230000001575 pathological effect Effects 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000009331 sowing Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
- 238000009333 weeding Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/05—Agriculture
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Computing Systems (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Probability & Statistics with Applications (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Databases & Information Systems (AREA)
- Marine Sciences & Fisheries (AREA)
- Computational Linguistics (AREA)
- Primary Health Care (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Fuzzy Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Software Systems (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Accounting & Taxation (AREA)
- Animal Husbandry (AREA)
- Environmental & Geological Engineering (AREA)
- Toxicology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses an agricultural park management method, equipment and a medium based on the Internet of things. The method comprises the following steps: collecting agricultural data in an agricultural park, and determining an agricultural management template corresponding to the agricultural park according to the agricultural data; determining the water-fertilizer ratio of an agricultural park according to agricultural data, acquiring the weather condition of the area where the agricultural park is located, determining the water-fertilizer influence factor of the weather condition on the water-fertilizer ratio, comparing the water-fertilizer influence factor with an agricultural management template, determining whether the agricultural management template contains a farm management scheme aiming at the water-fertilizer influence factor or not, and controlling the water-fertilizer ratio in a standard range according to the farm adjustment scheme; if the agricultural management template contains a farm management scheme, adjusting farm operation of the agricultural park according to the farm management scheme; and if the agricultural management template does not contain the agricultural management scheme, uploading the agricultural data to the agricultural management template, and supplementing and updating the agricultural management template according to the weather condition.
Description
Technical Field
The application relates to the technical field of computers, in particular to an agricultural park management method, equipment and medium based on the Internet of things.
Background
Nowadays, with the rapid development of science and technology in China, agriculture is also rapidly developed. As an industry for producing food and industrial raw materials by cultivating animals and plants, agriculture provides a material basis for daily life of people.
In order to improve the quality of agricultural production in the market at present, the plant growth condition and the weather condition are generally required to be predicted, prevented and controlled so as to improve the quality of agricultural products. However, most of the traditional prediction prevention and control methods adopt a manual monitoring or video monitoring system, the manual monitoring is time-consuming and labor-consuming, and the video monitoring has certain lag and errors, which is not beneficial to the prediction prevention and control of agricultural production. And the traditional prediction prevention and control can not carry out rapid prediction prevention and control management on agricultural production according to external factors.
Disclosure of Invention
In order to solve the problems, the application provides an agricultural park management method based on the internet of things, which is applied to an agricultural park management system based on the internet of things, and the method comprises the following steps: collecting agricultural data in an agricultural park, and determining an agricultural management template corresponding to the agricultural park according to the agricultural data; acquiring the weather condition of the area where the agricultural park is located, and performing change analysis on the agricultural data according to the weather condition to determine change factors generated by the weather condition in the agricultural park, wherein the change factors comprise water and fertilizer influence factors; determining a water-fertilizer ratio of the agricultural park according to the agricultural data, determining water-fertilizer influence factors of the weather conditions on the water-fertilizer ratio, wherein the water-fertilizer influence factors at least comprise precipitation and air humidity, comparing the water-fertilizer influence factors with the agricultural management template, and determining whether the agricultural management template contains a farm management scheme aiming at the water-fertilizer influence factors so as to control the water-fertilizer ratio in a standard range according to the farm regulation scheme; if the agricultural management template comprises the farm management scheme, adjusting the farm operation of the agricultural park according to the farm management scheme; and if the agricultural management template does not contain the agricultural management scheme, uploading the agricultural data to the agricultural management template, and performing supplementary updating on the agricultural management template according to the weather condition.
In one example, the method further comprises: determining the influence time of the weather condition, determining the precipitation in unit time according to the influence time and the water and fertilizer influence factors, and determining a water and fertilizer operation scheme for the agricultural park according to the precipitation in unit time; wherein, the water and fertilizer operation scheme comprises: comparing the precipitation in unit time with a preset first precipitation threshold and a preset second precipitation threshold, wherein the first precipitation threshold is smaller than the second precipitation threshold; if the precipitation in the unit time is less than or equal to the first precipitation threshold, irrigating the agricultural park, and setting a corresponding fertilizing amount according to the irrigation amount; when the precipitation in the unit time is greater than the first precipitation threshold and greater than the second precipitation threshold, reducing irrigation to the agricultural park and increasing the fertilizing amount; and when the precipitation in the unit time is larger than or equal to the second precipitation threshold value, determining the fertilizer type of the agricultural park and reducing the fertilizing amount.
In one example, the analyzing the agricultural data for changes according to the weather conditions to determine the change factors caused by the weather conditions in the agricultural park specifically includes: determining the planting pest and disease damage condition of the agricultural park according to the agricultural data, determining the pest and disease damage grade of the agricultural park according to the planting pest and disease damage condition, and comparing the pest and disease damage grade with a preset standard grade; if the pest grade is smaller than the standard grade, determining a corresponding pest control scheme in the agricultural management scheme according to the pest grade; if the pest grade is larger than or equal to the standard grade, the agricultural park is sealed, pest influence factors of the agricultural park are determined according to the weather condition, farm operation is carried out on the agricultural park according to the pest influence factors, and the agricultural management template is subjected to supplementary updating according to the farm operation.
In one example, the method further comprises: determining environment data of the agricultural park according to the agricultural data and the weather condition, determining an environment management template of the agricultural park, and determining an environment safety threshold according to the environment management template, wherein the environment data at least comprises gas components, park temperature and park humidity; comparing the environment data with the environment safety threshold, if the environment data is greater than the environment safety threshold, opening all safety channels of the agricultural park, determining the position information of farm operators in the agricultural park, and broadcasting evacuation instructions to the farm operators according to the position information and the safety channels.
In one example, the method further comprises: determining agricultural products in the agricultural park, and determining the product quality condition of the agricultural products according to the agricultural data; determining a product standard corresponding to the agricultural product according to the agricultural management template, and comparing the product quality condition with the product standard; if the quality condition of the product is greater than or equal to the product standard, the agricultural product is sold on shelves; and if the product quality condition is smaller than the product standard, acquiring the change factor according to the agricultural management template, confirming the influence of the corresponding weather condition on the product quality according to the change factor, adjusting the farm operation of the agricultural park according to the product quality, and performing supplementary updating on the agricultural management template according to the farm operation.
In one example, the method further comprises: determining a sales order of the agricultural product, collecting after-sale evaluation of the agricultural product, judging a poor evaluation rate of the after-sale evaluation, and comparing the poor evaluation rate with a pre-established evaluation threshold value; and if the poor evaluation rate is greater than the evaluation threshold value, performing off-shelf treatment on the agricultural product, and determining the change factor according to the product quality condition of the agricultural product so as to supplement and update the farm management scheme according to the change factor.
In one example, the method further comprises: determining a campus number of the agricultural campus so as to determine the plants of the agricultural campus according to the campus number; and determining the agricultural management template corresponding to the plant according to the park number, and performing supplementary updating on the agricultural management template corresponding to the plant according to the weather condition so as to finish the classified management of the agricultural park.
In one example, the method further comprises: establishing a garden state diagram of the agricultural garden according to the garden number, and labeling the garden state diagram according to the weather condition; determining the topographic information of the agricultural park, judging the ponding effect in the agricultural park according to the topographic information and the weather condition, and carrying out ponding early warning marking on the park state diagram according to the ponding effect; and judging water and fertilizer influence factors of corresponding parts of areas in the agricultural park according to the water accumulation effect, and carrying out farm work adjustment on the corresponding parts of areas according to the water and fertilizer influence factors.
On the other hand, this application has still provided an agricultural garden management equipment based on thing networking, includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the internet of things based agricultural park management apparatus to perform: a method as in any preceding example.
In another aspect, the present application further provides a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to: a method as in any preceding example.
This application utilizes internet of things, makes agricultural garden management system, and the system contains data acquisition, data collection, the data processing of garden internet of things facility, and data collection, processing such as garden input article use amount, pruning, pest control collect, the digital standard of crop planting management is analytic, the data butt joint of weather forecast. Through thing networking data, farming operation data and planting management standard data are proofreaded, combine weather forecast data, realize scientific liquid manure management, standard farming operation, accurate pest control, there are farming operation planning inadequately in the traditional management mode of agricultural garden, the input article use is unscientific, the unreasonable scheduling problem of farming operation personnel arrangement in solving agricultural garden traditional management mode, thereby improve agricultural garden management efficiency, the management precision, the construction progress of overall control garden, and trace back the information source that provides planting quality for the quality of agricultural product.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flow chart of an agricultural park management method based on the internet of things in the embodiment of the application;
fig. 2 is a schematic diagram of an agricultural park management device based on the internet of things in the embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an agricultural park management method based on the internet of things provided in the embodiment of the present application is applied to an agricultural park management system based on the internet of things, and includes:
s101: the method comprises the steps of collecting agricultural data in an agricultural park, and determining an agricultural management template corresponding to the agricultural park according to the agricultural data.
The agricultural park management system comprises a data module, the data module can collect agricultural data of an agricultural park carrying the Internet of things system, and the agricultural data relates to various links such as ploughing, seeding, fertilizing, killing insects, harvesting, storing and breeding. The agricultural park management system further comprises a control module, wherein a plurality of agricultural management templates are stored in the control module, the agricultural management templates corresponding to the agricultural parks are found according to the agricultural data, the agricultural management templates comprise agricultural operation records aiming at the agricultural data of all links, the agricultural operation records are used as comparison templates for the agricultural parks, and the agricultural operation of the agricultural parks can be improved according to the agricultural management templates aiming at various conditions of the agricultural data.
S102: and acquiring the weather condition of the area where the agricultural park is located, and performing change analysis on the agricultural data according to the weather condition so as to determine the change factors generated by the weather condition in the agricultural park.
Agricultural garden management system still is provided with the external connection module, acquires the weather condition in this agricultural garden place through this external connection module, and this weather condition includes the condition such as temperature, precipitation, wind level. Because the change of the weather condition has obvious influence on the agricultural park, the weather condition and the agricultural data are subjected to correlation analysis, and the reason of the change of the agricultural data is traced from the weather condition, so that the agricultural data change factor generated by the weather condition is determined.
S103: determining the water-fertilizer ratio of the agricultural park according to the agricultural data, determining water-fertilizer influence factors of the weather conditions on the water-fertilizer ratio, wherein the water-fertilizer influence factors at least comprise precipitation and air humidity, comparing the water-fertilizer influence change factors with the agricultural management template, determining whether the agricultural management template contains a farming management scheme aiming at the water-fertilizer influence change factors, and controlling the water-fertilizer ratio within a standard range according to the farming adjustment scheme.
In one embodiment, the agricultural data of the agricultural park is collected at regular time through the data module, wherein the data collection of the soil moisture and fertilization conditions of the agricultural park is included, and the soil water-fertilizer ratio of the agricultural park is calculated at regular time. In addition, from the acquired weather conditions, water and fertilizer influence factors of the weather on the water-fertilizer ratio of the soil are analyzed, wherein the water and fertilizer influence factors comprise indexes such as precipitation, air humidity and the like. Adjusting the farm work operation of the agricultural park according to the water and fertilizer influence factors, for example, when the rainfall is more, increasing the fertilizing amount to balance the water-fertilizer ratio of the soil; when the rainfall amount is increased seriously in the day, the fertilizing amount is reduced to prevent the loss of the fertilizer. And supplementing and updating the agricultural management template according to the farming operation, and when the situation occurs again, directly finding the corresponding farming operation scheme from the template to directly implement.
And after the water and fertilizer influence factors are obtained, comparing the water and fertilizer influence factors with the agricultural management template, and searching whether a farm management scheme aiming at the water and fertilizer influence factors exists in the existing agricultural management template so as to process the change factors according to the farm management scheme.
S104: and if the agricultural management template comprises the farm management scheme, adjusting the farm operation of the agricultural park according to the farm management scheme.
S105: and if the agricultural management template does not contain the agricultural management scheme, uploading the agricultural data to the agricultural management template, and performing supplementary updating on the agricultural management template according to the weather condition.
If the agricultural management scheme aiming at the variation factors is not found in the existing agricultural management template, the agricultural data in the situation is uploaded to the agricultural management template, and the situation is supplemented in the existing template. And inquiring the relevant solutions in the Internet through the external connection module, summarizing according to the inquiry result on the Internet, thereby finishing the reference solution under the weather condition, uploading the reference solution to the agricultural management template, and completing the supplement and update of the agricultural management template.
In one embodiment, for the influence of weather conditions on the water-fertilizer ratio of soil, the influence time of the weather conditions is determined, and a water-fertilizer operation scheme for the agricultural park is determined according to the influence time and the water-fertilizer influence factors, wherein the water-fertilizer operation scheme at least comprises regulation and control of irrigation time, irrigation amount, fertilizer type, fertilization time and fertilization amount. For example, precipitation and precipitation duration are obtained from weather conditions, and precipitation per unit time is calculated, so that irrigation and fertilization schemes for agricultural parks per unit time are obtained according to the precipitation per unit time. The unit time precipitation is compared to a pre-set low risk precipitation threshold (referred to herein as a first precipitation threshold) and a high risk precipitation threshold (referred to herein as a second precipitation threshold), wherein the first precipitation threshold is less than the second precipitation threshold. If the precipitation is less than or equal to the first precipitation threshold value in unit time, irrigating the agricultural park, and setting a corresponding fertilizing amount according to the irrigation amount; when the precipitation is larger than the first precipitation threshold value and larger than the second precipitation threshold value in unit time, reducing irrigation on the agricultural park, and properly increasing the fertilizing amount to balance the water-fertilizer ratio of the soil; when the precipitation is larger than or equal to the second precipitation threshold value in unit time, the fertilizing amount is properly reduced, and fertilizer types which are not easy to run off are applied to the soil of the agricultural park.
In one embodiment, pest conditions planted in an agricultural park can be obtained from agricultural data, including pathological phenomena that exhibit abnormalities in external morphology, such as: withering, rotting, blotches, mildew powder, flowers and leaves, and the like. The causes of the diseases of the medicinal plants comprise biological factors and non-biological factors. Diseases caused by invasion of biological factors such as fungi, bacteria, viruses, etc. into plants are infectious diseases called invasive diseases or parasitic diseases, diseases caused by influence or damage of physiological functions by abiotic factors such as drought, waterlogging, severe cold, nutrient imbalance, etc. are not infectious diseases called non-invasive diseases or physiological diseases. And determining the pest grade of the agricultural park according to the planting pest condition, and comparing the pest grade with a preset standard grade to determine a corresponding solution according to the pest severity of the agricultural park. And if the pest grade is smaller than the standard grade, finding a corresponding pest control scheme in the agricultural management scheme according to the pest grade. And if the pest grade is greater than or equal to the standard grade, closing the agricultural park, and judging the nature of biological factors and non-biological factors of the pests and the diseases in the agricultural park. Determining pest and disease influence factors of the agricultural park according to weather conditions, comparing and analyzing symptoms which can be generated by the pest and disease influence factors, and determining whether the pest and disease of the agricultural park is a non-biological factor. If the pest and disease damage of the agricultural park is caused by non-biological factors, adjusting the farm operation of the agricultural park according to pest and disease damage influencing factors, for example: reasonable rotation and intercropping, deep ploughing, weeding, pruning and clearing garden, adjusting the sowing period, reasonably applying fertilizer, breeding and utilizing disease-resistant and insect-resistant varieties. And supplementing and updating the agricultural management template according to the farming operation.
In one embodiment, a campus number for the agricultural campus is determined by the data module to determine a corresponding plant on the agricultural campus based on the campus number. And determining an agricultural management template corresponding to the plant according to the park number. In the special case mentioned in the above embodiment, the agricultural management template corresponding to the plant is updated according to the weather condition, so as to complete the classification management of different plants in the agricultural park.
In one embodiment, the agricultural park management system further comprises an alarm module for determining environmental data of the agricultural park from the agricultural data and the weather conditions, wherein the environmental data at least comprises gas composition, park temperature and park humidity. The method comprises the steps of obtaining an environment management template of the agricultural park in a control module, and determining an environment safety threshold of the agricultural park according to the environment management template, wherein the environment safety threshold comprises multiple sets of thresholds aiming at multiple kinds of environment data. The environmental data is compared to an environmental safety threshold to determine whether the environment of the agricultural park is safe. If the environmental data is larger than the environmental safety threshold value, all safety channels of the agricultural park are opened, the position information of farm operators in the agricultural park is determined, and evacuation instructions are broadcasted to the farm operators through the alarm module according to the position information and the safety channels. For example: the method comprises the steps of acquiring the oxygen concentration in the agricultural park in real time through a data module, comparing the oxygen concentration with an oxygen related threshold in an environment safety threshold, determining that the environment condition in the agricultural park is dangerous if the oxygen concentration is lower than the oxygen threshold, and taking corresponding evacuation measures.
In one embodiment, the agricultural products in the agricultural park are determined from the agricultural park number and the product quality status of the agricultural products is determined from the agricultural data. And determining a product standard corresponding to the agricultural product according to the agricultural management template, and comparing the product quality condition with the product standard. And if the quality condition of the product is greater than or equal to the product standard, putting the agricultural product on shelf for sale. And if the product quality condition is smaller than the product standard, acquiring the variation factors according to the agricultural management template, confirming the influence of the corresponding weather condition on the product quality according to the variation factors, finding the variation factors to find the corresponding farm operation scheme, improving the farm operation scheme, and supplementing and updating the agricultural management template according to the improved farm operation.
In one embodiment, the agricultural park management system further includes a sales module. Determining a sale order of the agricultural product through a sale module, collecting after-sale evaluation of the agricultural product, judging a poor evaluation rate of the after-sale evaluation, and comparing the poor evaluation rate with a preset evaluation threshold value. And if the poor evaluation rate is greater than the evaluation threshold value, performing shelf unloading processing on the agricultural products through the sales module, and determining a change factor according to the product quality condition of the agricultural products so as to supplement and update the farm management scheme according to the change factor.
In one embodiment, a park status diagram of the agricultural park is established according to the park number, the park status diagram is based on a basic geographical diagram of the agricultural park, the park number is labeled in different crop areas, and the variation factor of the crop is labeled on the position of the park status diagram corresponding to the park number according to the weather condition. Determining the topographic information of the agricultural park, judging the ponding effect in the agricultural park according to the topographic information and the weather condition, and carrying out ponding early warning marking on the park state diagram according to the ponding effect. For example: there is unevenness's the condition in the topography in the agricultural park, and wherein low-lying position is ponding very easily under the weather that has precipitation, consequently needs monitor the ponding effect of these low-lying positions, if ponding is too dark surpass preset ponding early warning mark even, then reports to the police to carry out the drainage to this position. And judging water and fertilizer influence factors of corresponding parts of areas in the agricultural park according to the water accumulation effect, and carrying out farm work adjustment on the corresponding parts of areas according to the water and fertilizer influence factors.
As shown in fig. 2, an embodiment of the present application further provides an agricultural park management device based on the internet of things, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to cause the internet of things based agricultural park management apparatus to perform the method according to any one of the embodiments above.
An embodiment of the present application further provides a non-volatile computer storage medium storing computer-executable instructions, where the computer-executable instructions are configured to: a method as in any preceding embodiment.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An agricultural park management method based on the Internet of things is applied to an agricultural park management system based on the Internet of things, and comprises the following steps:
collecting agricultural data in an agricultural park, and determining an agricultural management template corresponding to the agricultural park according to the agricultural data;
acquiring the weather condition of the area where the agricultural park is located, and performing change analysis on the agricultural data according to the weather condition to determine the change factors generated by the weather condition in the agricultural park, wherein the change factors comprise water and fertilizer influence factors;
determining a water-fertilizer ratio of the agricultural park according to the agricultural data, determining water-fertilizer influence factors of the weather conditions on the water-fertilizer ratio, wherein the water-fertilizer influence factors at least comprise precipitation and air humidity, comparing the water-fertilizer influence factors with the agricultural management template, and determining whether the agricultural management template contains a farm management scheme aiming at the water-fertilizer influence factors so as to control the water-fertilizer ratio in a standard range according to the farm regulation scheme;
if the agricultural management template comprises the farm management scheme, adjusting farm operation of the agricultural park according to the farm management scheme;
and if the agricultural management template does not contain the agricultural management scheme, uploading the agricultural data to the agricultural management template, and performing supplementary updating on the agricultural management template according to the weather condition.
2. The method of claim 1, further comprising:
determining the influence time of the weather condition, determining the precipitation in unit time according to the influence time and the water and fertilizer influence factors, and determining a water and fertilizer operation scheme for the agricultural park according to the precipitation in unit time;
wherein, the water and fertilizer operation scheme comprises:
comparing the precipitation in unit time with a preset first precipitation threshold and a preset second precipitation threshold, wherein the first precipitation threshold is smaller than the second precipitation threshold;
if the precipitation in the unit time is less than or equal to the first precipitation threshold, irrigating the agricultural park, and setting a corresponding fertilizing amount according to the irrigation amount;
when the precipitation in the unit time is greater than the first precipitation threshold and greater than the second precipitation threshold, reducing irrigation to the agricultural park and increasing the fertilizing amount;
and when the precipitation in the unit time is larger than or equal to the second precipitation threshold value, determining the fertilizer type of the agricultural park and reducing the fertilizing amount.
3. The method of claim 1, wherein analyzing the agricultural data for changes based on the weather conditions to determine the changing factors in the agricultural park resulting from the weather conditions comprises:
determining the planting pest and disease damage condition of the agricultural park according to the agricultural data, determining the pest and disease damage grade of the agricultural park according to the planting pest and disease damage condition, and comparing the pest and disease damage grade with a preset standard grade;
if the pest grade is smaller than the standard grade, determining a corresponding pest control scheme in the agricultural management scheme according to the pest grade;
if the pest grade is larger than or equal to the standard grade, the agricultural park is sealed, pest influence factors of the agricultural park are determined according to the weather condition, farm operation is carried out on the agricultural park according to the pest influence factors, and the agricultural management template is subjected to supplementary updating according to the farm operation.
4. The method of claim 1, further comprising:
determining environment data of the agricultural park according to the agricultural data and the weather condition, determining an environment management template of the agricultural park, and determining an environment safety threshold according to the environment management template, wherein the environment data at least comprises gas components, park temperature and park humidity;
comparing the environment data with the environment safety threshold, if the environment data is greater than the environment safety threshold, opening all safety channels of the agricultural park, determining the position information of farm operators in the agricultural park, and broadcasting evacuation instructions to the farm operators according to the position information and the safety channels.
5. The method of claim 1, further comprising:
determining agricultural products in the agricultural park, and determining the product quality condition of the agricultural products according to the agricultural data;
determining a product standard corresponding to the agricultural product according to the agricultural management template, and comparing the product quality condition with the product standard;
if the quality condition of the product is greater than or equal to the product standard, the agricultural product is sold on shelves;
and if the product quality condition is smaller than the product standard, acquiring the change factor according to the agricultural management template, confirming the influence of the corresponding weather condition on the product quality according to the change factor, adjusting the farm operation of the agricultural park according to the product quality, and performing supplementary updating on the agricultural management template according to the farm operation.
6. The method of claim 5, further comprising:
determining a sales order of the agricultural product, collecting after-sale evaluation of the agricultural product, judging a poor evaluation rate of the after-sale evaluation, and comparing the poor evaluation rate with a pre-established evaluation threshold value;
and if the poor evaluation rate is greater than the evaluation threshold value, performing off-shelf treatment on the agricultural product, and determining the change factor according to the product quality condition of the agricultural product so as to supplement and update the farm management scheme according to the change factor.
7. The method of claim 1, further comprising:
determining a campus number of the agricultural campus so as to determine the plants of the agricultural campus according to the campus number;
and determining the agricultural management template corresponding to the plant according to the park number, and performing supplementary updating on the agricultural management template corresponding to the plant according to the weather condition so as to finish the classified management of the agricultural park.
8. The method of claim 7, further comprising:
establishing a garden state diagram of the agricultural garden according to the garden number, and labeling the garden state diagram according to the weather condition;
determining the topographic information of the agricultural park, judging the ponding effect in the agricultural park according to the topographic information and the weather condition, and carrying out ponding early warning marking on the park state diagram according to the ponding effect;
and judging water and fertilizer influence factors of corresponding parts of areas in the agricultural park according to the water accumulation effect, and carrying out farm work adjustment on the corresponding parts of areas according to the water and fertilizer influence factors.
9. The utility model provides an agricultural garden management equipment based on thing networking which characterized in that includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the internet of things based agricultural park management apparatus to: the method of any one of claims 1-8.
10. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions configured to: the method of any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210159016.1A CN114580865A (en) | 2022-02-21 | 2022-02-21 | Agricultural park management method, equipment and medium based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210159016.1A CN114580865A (en) | 2022-02-21 | 2022-02-21 | Agricultural park management method, equipment and medium based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114580865A true CN114580865A (en) | 2022-06-03 |
Family
ID=81770647
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210159016.1A Pending CN114580865A (en) | 2022-02-21 | 2022-02-21 | Agricultural park management method, equipment and medium based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114580865A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114868505A (en) * | 2022-07-12 | 2022-08-09 | 山西方圆村信息技术有限公司 | Intelligent liquid manure control cabinet |
-
2022
- 2022-02-21 CN CN202210159016.1A patent/CN114580865A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114868505A (en) * | 2022-07-12 | 2022-08-09 | 山西方圆村信息技术有限公司 | Intelligent liquid manure control cabinet |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2688234C1 (en) | Smart growing control method and smart device for growing | |
| Wolfe et al. | Unique challenges and opportunities for northeastern US crop production in a changing climate | |
| CN110771442A (en) | Agricultural planting method and system based on Internet of things | |
| Sawan | Cotton production and climatic factors: Studying the nature of its relationship by different statistical methods | |
| Saavoss et al. | Yield, quality and profitability of sensor-controlled irrigation: A case study of snapdragon (Antirrhinum majus L.) production | |
| CN116046687A (en) | Crop growth process monitoring method, device and medium | |
| Jo et al. | Development of a transpiration model for precise tomato (Solanum lycopersicum L.) irrigation control under various environmental conditions in greenhouse | |
| CN116362578A (en) | Determination method and device of irrigation strategy | |
| CN114580865A (en) | Agricultural park management method, equipment and medium based on Internet of things | |
| CN117973921A (en) | Agricultural management method and system | |
| CN111133927A (en) | Big data-based greenhouse planting management method | |
| Somnuek et al. | Assessment of water control model for tomato and paprika in the greenhouse using the Penman-Monteith model | |
| CN113448368A (en) | Internet of things intelligent agricultural control detection method and system | |
| Mubiru et al. | Micro-level analysis of seasonal trends, farmers’ perception of climate change and adaptation strategies in eastern Uganda | |
| Singh et al. | Soilless Smart Agriculture Systems for Future Climate | |
| Halder et al. | Application of Precision Farming in Horticulture: A Comprehensive Review | |
| van Iersel | Ec and ph: What is it and why does it matter? | |
| CN214708748U (en) | Management and control system for accurate nutrition irrigation of crops | |
| Anavrat | Adoption of improved technologies among Nagpur Mandarin Growers in Vidarbha | |
| Sawan | Response of flower and boll development to climatic factors in Egyptian cotton (Gossypium barbadense) | |
| Goh | Indoor hydroponics farming system monitoring via internet of things (IoT) | |
| Kamalov et al. | Synergy of Current Knowledge in Physics, Agrometeorology and Modern Technologies in Agriculture | |
| LIU et al. | Different irrigation rates effect on the yield and quality of greenhouse cultivated platycodon grandiflorum crops considering transpiration | |
| Wakhare et al. | Precise Prediction of Water Level Using the Naïve Bayes Algorithm for Smart Irrigation in Pomegranate Farms | |
| Jia et al. | Effects of different irrigation rates on the yield and quality of greenhouse-cultivated Platycodon grandiflorus crops considering transpiration. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |